About the TeamThe Structured Finance Analytics Team is composed of a Quant team, a Data Analytics team, a Solutions team, and a Cashflow Modelling team. The Quant team has been growing over the last few years, comprising a global team of a dozen people today, located in the US and in Europe. The Quant team builds models and analytical tools to help rating analysts assess the credit risk of a transaction.

The RoleAs a Quant Analyst you will execute proprietary research for building various types of credit rating models, such as factor models and predictive models covering asset classes of ABS, CMBS, RMBS and Structured Credit. The Quant team will collaborate with members from the Credit Ratings, Credit Practices, Methodology Review Function, Data Engendering and Technology teams to create class leading models that are as innovative as understandable in the marketplace. ResponsibilitiesSupport rating methodology development and participate in the implementation of quantitative models such as credit predictive models.

Develop, maintain and enhance proprietary Python and C++ libraries related to model building. Assisting development of analytics-based solutions, taking ownership of the design and development of solutions to scale out information ingestion, storage, computation (training/inference), validation. Contribute to the development and writing of quantitative research papers supporting model development, methodology enhancements, and analytical innovation.

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team. These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately.

Master's degree or PhD preferred in Mathematics, Engineering, Physics, Economics, Finance, Statistics, or a related quantitative discipline.



Coding skills in a major programming language Python or C++ and experience writing research articles and/or technical documentation using LaTeX.Strong knowledge of statistical modelling, probability theory, numerical analysis and stochastic calculus. Strong knowledge of numerical methods (numerical integration, Monte Carlo simulation, root‐finding and general optimisation techniques).CQF or postgraduate degree in quantitative finance, economics, or STEM fields is highly desired.

Exposure to main Python packages for numerical computing and Machine Learning / Data Science (NumPy, Pandas, Scikit‐Learn and SciPy).Ability to perform rigorous data analysis on large datasets.

Experience developing cloud applications (AWS preferably).Base Salary Compensation RangeEUR 63,400.00-92,133.00Bonus Target: 20% AnnualHybrid Work EnvironmentMorningstar's hybrid work environment gives you the opportunity to collaborate in‐person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in‐office each week. No matter where you are, you'll have tools and resources to engage meaningfully with your general colleagues.

Company

OverviewMorningstar DBRS is a leading provider of independent credit rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. We are one of the top four credit rating agencies in the world and a market leader in Canada, the U.We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.

📌 Assistant Vice President, Quantitative Analyst, Structured Finance (Madrid)
🏢 Morningstar Credit Ratings
📍 Madrid